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Artificial Intelligence Engineer
Recrodindigul, tamil nadu, in21 days ago
Job descriptionDesign voice AI pipelines for real-time speech processing and multi-language support Master context engineering - dynamically managing memory, retrieval, and information Create agentic workflows that can understand context and generate domain-specific Integrate with LLM APIs (OpenAI, Anthropic, etc.) and optimize model performance for Collaborate with engineering teams to seamlessly integrate AI capabilities into 2+ years of hands-on experience building AI systems in production environments Strong expertise in Python and LLMs, prompt engineering, and API integrations Proficiency in core AI / ML libraries (transformers, LangChain, PyTorch / TensorFlow) Experience building RAG systems and working with vector databases Understanding of agentic AI systems and multi-agent architectures Knowledge of speech technologies (STT / TTS) and NLP frameworks Familiarity with cloud platforms (AWS / Azure) and MLOps practices Experience with voice AI applications and real-time audio processing Healthcare domain knowledge or experience with compliance requirements Background in fine-tuning LLMs or multilingual NLP models Python FastAPI experience for building AI-powered APIs Experience with multi-agent frameworks like LangGraph, CrewAI, or AutoGen
You're an AI Engineer with 2+ years of experience who understands that context engineering is
becoming the most important skill an AI engineer can develop. You're passionate about building
intelligent systems that solve real-world problems and excited about mastering the art of
providing the right context to unlock LLM potential in complex, dynamic applications.
Responsibilities
- Build and integrate LLM-powered features including document generation, intelligent
assessments, and conversational agents
flow across complex agent trajectories
outputs
production use
applications
Qualifications
Required
(OpenAI, Anthropic, etc.)
Nice to Have
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Artificial Intelligence Engineer • dindigul, tamil nadu, in
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